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Learning with Privacy at Scale
Understanding how people use their devices often helps in improving the user experience. However, accessing the data that provides such…
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,335 posts.
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Improving Deep Learning Performance with AutoAugment
Posted by Ekin Dogus Cubuk, Google AI Resident and Barret Zoph, Research Scientist, Google Brain Team The success of deep learning in computer vi...
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Listening with LLM
Overview # This is the first part of many posts I am writing to consolidate learnings on how to finetune Large Language Models (LLMs) to process audio, with the eventual goal of being able to build and host a LLM able to describe human voices. I am motivated to gain hands-on experience tinkering LLMs so, as much as…
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Tomáš Mikolov on Word2vec and AI research at Microsoft, Google, Facebook [audio]
Find, classify and remediate PII across your files, email, databases and cloud. Accurate AI-powered PII discovery – on-premise or SaaS.
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The Illusion of Thinking: Strengths and Limitations of Reasoning Models
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes…
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Learning Regular Languages with L* Algorithm
Research in Software Engineering from Rahul Gopinath
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It's OpenAI's world, we're just living in it
The best Stratechery content from the week of October 6, 2025, including OpenAI’s Windows strategy, Sam Altman and boundless ambition, and the future of creation.
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I played chess against ChatGPT-4 and lost
GPT-4 will change the world.
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LLMs have reached a point of diminishing returns
Science, sociology, and the likely financial collapse of the Generative AI bubble
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Three kinds of AI products work
The very first LLM-based product, ChatGPT, was just the ability to talk with the model itself: in other words, a pure chatbot. This is still the most popular…
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Critical vulnerability in LangChain – CVE-2025-68664
Check Point's AI Security Solutions deliver AI-driven threat prevention and unified security management for advanced protection across enterprise networks.
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The continued relevance of Weizenbaum’s warnings
“The computer has long been a solution looking for problems—the ultimate technological fix which insulates us from having to look at problems.” – Joseph Weizenbaum (1983) Trying to kee…
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Knowledge Management in the Age of AI
My personal website
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RTX3080 TensorFlow and NAMD Performance on Linux
The much anticipated NVIDIA GeForce RTX3080 has been released. How good is it with TensorFlow for machine learning? How about molecular dynamics with NAMD? I've got some preliminary numbers for you!
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Expensively Quadratic: The LLM Agent Cost Curve
Cache reads are quadratic and dominate your long agentic conversations.
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Reasons robotics is hard
And why you should ignore demo videos
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Using AI to compress audio files for quick and easy sharing
Sending an MP3 typically requires 128 kb/s of bandwidth. We can compress HiFi audio down to 12 kb/s, without sacrificing the quality.
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AI At Home Part 1: A Box Of Scraps
data centers are so cool there should be one in every house
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SEQUOIA: Exact Llama2-70B on an RTX4090 with half-second per-token latency
Serving Llama2-70B on an RTX4090 with Sequoia
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Minions – Stripe's Coding Agents Part 2
Minions are Stripe’s homegrown coding agents, responsible for more than a thousand pull requests merged each week. Though humans review the code, minions write it from start to finish. Learn how they work, and how we built them.
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Time Series Forecasting with Graph Transformers
Introduction to Kumo Relational — the relational foundation model for predictive AI on relational data
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Removing blur from images – deconvolution and using simple image filters
Left: Original image. Center: Blurred through convolution. Right: Deconvolution of the blurred image. In this post, we’ll have a look at the idea of removing blur from images, videos, or games thro…
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An open source DuckDB text to SQL LLM
Our first Text2SQL model release! | Reading time: 5 min read